%0 Journal Article
%T Short-term traffic volume intelligent hybrid forecasting model and its application<br>短时交通流量智能组合预测模型及应用
%A SHEN Guo-jiang
%A WANG Xiao-hu
%A KONG Xiang-jie
%A <br>沈国江
%A 王啸虎
%A 孔祥杰
%J 系统工程理论与实践
%D 2011
%I 
%X A novel intelligent hybrid(IH) model for short-term traffic volume forecasting was presented. The IH model had three sub-models:kalman filter(KF) model,artificial neural network(ANN) model and fuzzy combination(FC) model.By means of the good static linear stabilization character of the kalman filter method,the KF model forecasted the traffic volume by the linear iteration method.Otherwise, the ANN model can estimate the dynamic traffic volume in a very precise and satisfactory sense due to the strong dynami...
%K intelligent traffic system
%K traffic flow forecasting
%K Kalman filter
%K neural network
%K fuzzy logic<br>智能交通系统
%K 交通流预测
%K 卡尔曼滤波
%K 神经网络
%K 模糊逻辑
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=01BA20E8BA813E1908F3698710BBFEFEE816345F465FEBA5&cid=962324E222C1AC1D&jid=1D057D9E7CAD6BEE9FA97306E08E48D3&aid=64A944700DA065AF0EAEC88F6E53CA21&yid=9377ED8094509821&vid=4AD960B5AD2D111A&iid=38B194292C032A66&sid=B4F9D541F855CF96&eid=6D6B4A516C7DB6EE&journal_id=1000-6788&journal_name=系统工程理论与实践&referenced_num=0&reference_num=10